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Detail publikačního výsledku
SMRŽ, P.; NOVÁČEK, V.
Originální název
Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework
Anglický název
Druh
Stať ve sborníku mimo WoS a Scopus
Originální abstrakt
The significance of uncertainty representation has becomeobvious in the Semantic Web community recently. This paper presents our research on uncertainty handling in automatically created ontologies. A new framework for uncertain information processing is proposed. The research is related to OLE (Ontology LEarning) - a project aimed at bottomup generation and merging of domain-specific ontologies. Formal systems that underlie the uncertainty representation are briefly introduced. We discuss the universal internal format of uncertain conceptual structures in OLE then and offer a utilisation example then. Theproposed format serves as a basis for empirical improvement of initial knowledge acquisition methods as well as for general explicit inference tasks.
Anglický abstrakt
Klíčová slova
ontology, uncertainty
Klíčová slova v angličtině
Autoři
Vydáno
11.07.2006
Nakladatel
Springer Verlag
Místo
Berlin
ISBN
3-540-34544-2
Kniha
The Semantic Web: Research and Applications
Edice
Lecture notes in Computer Science 4011/2006 - Proceedings of ESWC'06 - the 3rd European Semantic Web Conference
Strany od
65
Strany do
79
Strany počet
15
BibTex
@inproceedings{BUT22212, author="Pavel {Smrž} and Vít {Nováček}", title="Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework", booktitle="The Semantic Web: Research and Applications", year="2006", series="Lecture notes in Computer Science 4011/2006 - Proceedings of ESWC'06 - the 3rd European Semantic Web Conference", pages="65--79", publisher="Springer Verlag", address="Berlin", isbn="3-540-34544-2" }